Feedback neural network is one of the most important neural network, the most remarkable feature of this kind of network is the associative memory function.

反馈神经网络是神经网络中最重要的类型之一，这种网络的突出特点就是它具有联想记忆的功能。

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The study of the feedback neural network, the analysis of the work principle of Hopfield neural network lead to a neural network model with chaotic character .

对反馈神经网络进行了研究，在分析现有混沌神经网络的工作原理的基础上，提出一种新的混沌神经网络模型。

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This paper proposes a state feedback control strategy with a neural network compensator, which is applied in a hydraulic position servo system.

提出一种具有神经网络补偿的状态反馈控制方法并用于液压伺服位置控制系统。

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